Bitrate-Adaptive Video Segmentation Using Prediction-Based Bit Costs
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Solution Overview
Problem
Conventional scene change-based segmentation techniques for video transcoding are inefficient, particularly when scene changes are infrequent or frequent, leading to poor rate-distortion performance, increased compute resources, and bitrate fluctuations, which affect video playback quality and buffering.
Innovation Solution
Implementing bitrate-adaptive segmentation using a shortest path search to analyze prediction-based bit costs for determining chunk boundaries in video streams, segmenting the video based on inter-prediction and intra-prediction bit costs to minimize file size, streaming bandwidth, and reduce bitrate fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scene change-based segmentation is used, then video streams can be divided into chunks, but rate-distortion performance deteriorates and compute resources increase
Solution Approach 1:
The patent changes the segmentation parameter from scene change detection to bitrate cost analysis. By using inter-prediction and intra-prediction bit costs as the basis for determining chunk boundaries, the system optimizes the segmentation to minimize bitrate fluctuations while maintaining rate-distortion performance, directly resolving the contradiction between transcoding efficiency and rate-distortion quality.
2Productivity
If scene change-based segmentation is used, then video chunks are created, but bitrate fluctuations increase affecting playback quality
Solution Approach 1:
The patent changes the segmentation criterion from scene change detection to bitrate cost minimization. By analyzing inter-prediction and intra-prediction bit costs and selecting chunk boundaries that minimize bitrate variations, the system achieves stable bitrate output while maintaining efficient processing, directly addressing the contradiction between segmentation speed and bitrate stability.
3Device complexity
If conventional segmentation is used, then processing is simpler, but file size increases and streaming bandwidth requirements increase
Solution Approach 1:
The patent changes the optimization parameter from simple scene change detection to bitrate cost-based segmentation. By using inter-prediction and intra-prediction bit costs to determine optimal chunk boundaries, the system minimizes the total file size and streaming bandwidth requirements, resolving the contradiction between segmentation complexity and file size efficiency.
Data Source
AI summary
Bitrate-adaptive segmentation is performed for transcoding a video stream uploaded to an online video platform for hosting and later playback to platform users. The video stream is segmented into chunks based on prediction-based bit costs determined for frames of the video stream rather than based on scene changes detected within the video stream. The bitrate-adaptive segmentation includes determining inter-prediction bit costs and intra-prediction bit costs for frames of the video stream based on information indicated within a pass log based on a first pass encoding of the video stream, determining chunk boundaries for segmenting the video stream into a chunk based on the inter-prediction bit costs and the intra-prediction bit costs for the frames, and transcoding the chunk to produce a transcoded video stream.